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Hi there 👋

I'm Sharon and I'm a Software Developer

  • I'm currently developing research applications using Python for the USGS.
  • I'm using Machine Learning for classifiying satellite imagery.

Sharon Fitzpatrick's Projects

coastsat icon coastsat

Global shoreline mapping tool from satellite imagery

coastsat.slope icon coastsat.slope

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

coastseg icon coastseg

The mapping extension for Zoo; carry out image segmentation on geospatial datasets

coastseg_manuscript icon coastseg_manuscript

A repository to host the Journal of Open Source Software manuscript that describes the CoastSeg project

cpu_scheduler icon cpu_scheduler

A short program written in java that simulates three different styles of CPU scheduling. It imitates First Come First Serve(FCFS), High Priority First(HPF), and Round Robin Scheduling. Input is read from a input file called input.txt and the results are outputted to a file called output.txt.

cubo icon cubo

Easily create EO mini cubes from STAC in Python

dash_doodler icon dash_doodler

Doodler. A web application built with plotly/dash for image segmentation with minimal supervision

dea-coastlines icon dea-coastlines

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

doodler_engine icon doodler_engine

Common codes for the Doodler family of tools (Dash-Doodler, and Holo-Doodler)

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

geodemo icon geodemo

A Python package for interactive mapping

leafmap icon leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

localtileserver icon localtileserver

🌐 Local tile server for viewing geospatial raster files with ipyleaflet or folium

mlmondays icon mlmondays

Materials for the USGS "Deep Learning for Image Classification and Segmentation" CDI workshop, 2020

movies_api icon movies_api

This API was developed with Node.JS and utilizes AXIOS to make calls to a movies database api via a url. It also updates and access a local MySQL database based on the axios calls. It parses JSON responses from the Axios API calls into a format that can be stored in the MYSQL database via a prepared statement for added database security.

npz_json_converter icon npz_json_converter

A small python application that converts npz files generated by a machine learning segmentation process into a json file.

planetdownload icon planetdownload

simple scripts to download planet imagery given an ROI and time constraints

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